AI Knowledge Assistant
An AI assistant that helps customers, employees and users find answers from your websites, documentation, knowledge bases, manuals and FAQs — grounded in the sources you approve.
What is an AI Knowledge Assistant?
An AI Knowledge Assistant is a conversational assistant that answers questions using a defined set of approved business information. Rather than searching through pages and PDFs, a person asks a question in normal language and receives a direct answer drawn from those sources, often with a reference to the document it used.
It is designed to answer from your material rather than from general knowledge, and to say when it doesn't have enough information instead of guessing. We do not claim perfect accuracy — part of the work is testing responses and tuning which sources it draws from.
Useful information, hard to reach
Most businesses have valuable information spread across many places: the public website, a help center, internal wikis, product manuals, onboarding documents, policy PDFs and email threads. Each was written for a different audience at a different time.
When a customer or a colleague needs an answer, they either search several systems, read a long document to find one paragraph, or ask a person who then repeats an answer they have given many times before.
The result is slower support, inconsistent answers, and a documentation library that people avoid because it is faster to ask someone.
An AI Knowledge Assistant addresses the access problem: the information stays where it is, but people can now query all of it conversationally from one place — your website, your help center, or an internal tool.
From your sources to a useful answer
Connect approved sources
We identify which content the assistant should use — website pages, documentation, FAQs, manuals, exported knowledge base articles — and how it stays up to date.
Prepare and index the content
The content is processed into a searchable form so the assistant can find the most relevant passages for a given question.
Understand the question
When someone asks something, the assistant interprets what they mean, including follow-up questions that depend on earlier context.
Retrieve relevant material
It pulls the passages most likely to contain the answer from your approved sources.
Compose a grounded answer
The assistant writes a plain-language answer based on the retrieved material and can cite which sources it used.
Handle gaps honestly
If the sources do not cover the question, it is designed to say so and can hand off to a person or a contact form.
Content it can work with
The assistant answers from the sources you approve. Common ones include:
Websites
Public pages, product and service information, policy and support pages.
Documentation
Product docs, technical guides, API references and how-to articles.
Help centers & FAQs
Existing knowledge base articles and frequently asked questions.
Manuals & handbooks
PDF manuals, onboarding material and internal handbooks.
Knowledge bases
Wiki spaces and internal documentation repositories.
Product information
Specifications, compatibility notes and release notes.
Where teams put it to use
Illustrative examples — what fits your business depends on your content, data and systems.
Website support assistant
A widget on your site answers common pre-sales and support questions from approved content, with a clear path to contact a human.
Documentation companion
Readers ask questions directly inside your docs instead of scrolling, and get answers with links to the full page.
Employee help desk
Staff ask about policies, tools and processes across internal documentation without interrupting colleagues.
Onboarding guide
New hires get consistent answers about systems and procedures during their first weeks.
Sales enablement
Reps get quick, consistent answers about products, pricing rules and policies from approved material.
Partner & reseller support
External partners self-serve answers from a curated subset of your documentation.
What it can help with
Benefits depend on how the solution is scoped and adopted. We describe what it can be designed to do, not guaranteed results.
Faster access to information
People get a direct answer instead of searching multiple systems.
Better self-service
More questions are resolved without waiting for a person.
Fewer repetitive questions
Your team spends less time answering the same things.
More consistent answers
Responses come from the same approved sources every time.
Easier knowledge discovery
People find content they did not know existed.
More useful documentation
Your existing content gets used rather than ignored.
Handling business information responsibly
We don't claim formal certifications. These are the considerations we work through with you.
Source control
The assistant only uses the content you approve. Internal-only material can be kept out of a public assistant.
Public vs internal
A customer-facing assistant and an internal one can draw from different content sets with different access rules.
Grounded answers
It is designed to answer from retrieved sources and to decline when it lacks the information, reducing invented answers.
Review before launch
We test real questions with you and adjust sources and wording before the assistant goes live.
Connecting to the systems you already use
An AI Knowledge Assistant can be added to your website as an embedded widget or a dedicated page, placed inside your documentation, or connected to an internal tool such as a staff portal or chat platform.
Content can be kept current by re-syncing from your website or documentation on a schedule, or when pages change.
Where you need it, answers can include links back to the source page, hand off to a support form or live chat, and log unanswered questions so you can see where your documentation has gaps.
The specific integrations depend on your stack, which we scope during the Understand phase.
How a project usually runs
Discovery
We review your content, the audiences that need answers, and the questions they ask today.
Source selection
Together we decide which sources are in scope and how they stay updated.
Build a first version
We stand up a working assistant on a representative slice of your content.
Test and tune
We run real questions, review answers with you, and adjust sources, prompts and fallbacks.
Launch
We deploy it to your site, docs or internal tool and monitor early usage.
Improve
We review unanswered and poorly answered questions and refine the content and configuration.
AI Knowledge Assistant — common questions
How does an AI Knowledge Assistant work?
It connects to a defined set of approved sources — websites, documentation, FAQs, manuals and knowledge bases. When someone asks a question, it retrieves the most relevant passages from those sources and composes a plain-language answer, and it can cite which sources it used. If the sources do not cover the question, it is designed to say so.
Can AI work with company documentation?
Yes. Documentation, manuals, handbooks and knowledge base articles are among the most common sources. Content can be public or internal-only, and a customer-facing assistant can be limited to a different set of sources than an internal one.
Is it accurate?
It is designed to answer from your approved sources rather than guess, which improves reliability, but we do not claim perfect accuracy. Testing responses with you and tuning the sources is part of every build, and answers can point back to the source so people can verify.
What happens when it does not know the answer?
It is built to acknowledge the gap rather than invent an answer, and it can hand off to a contact form, support queue or live chat. Unanswered questions can be logged so you can see where documentation is missing.
Where can it be used?
On your website as a widget or dedicated page, inside your documentation, or connected to an internal tool such as a staff portal or chat platform.